Title :
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium
Abstract :
The following topics were covered: supervised learning; global brain; system identification; blind signal separation and independent component analysis; classification; multilayer perceptrons; image processing; neurobiology; nonlinear control; geometry; medical applications; statistical frameworks; neurocognition; pattern recognition; time series prediction; symbolic and sub-symbolic computation; recurrent neural nets; adaptive critic design; function approximation; spiking neural nets; unsupervised learning; memory; face recognition; principal component analysis; rule extraction; clustering; radial basis function networks; information storage and retrieval; vision; learnability; multiclass vector support machines; motion analysis; fuzzy neural systems; nondestructive testing and evaluation; automatic speech recognition; soft computing for financial engineering; robotics; evolutionary computation; fault diagnosis and defect identification; speech processing; communications; adaptive resonance theory networks; data analysis; associative memory; self-organising maps; manufacturing; power systems; signal processing; and network optimisation
Keywords :
neural nets; adaptive critic design; adaptive resonance theory networks; associative memory; automatic speech recognition; blind signal separation; classification; clustering; communications; data analysis; defect identification; evolutionary computation; face recognition; fault diagnosis; financial engineering; function approximation; fuzzy neural systems; geometry; global brain; image processing; independent component analysis; information retrieval; information storage; learnability; manufacturing; medical applications; motion analysis; multiclass vector support machines; multilayer perceptrons; network optimisation; neurobiology; neurocognition; nondestructive testing; nonlinear control; pattern recognition; power systems; principal component analysis; radial basis function networks; recurrent neural nets; robotics; rule extraction; self-organising maps; signal processing; soft computing; speech processing; spiking neural nets; statistical frameworks; subsymbolic computation; supervised learning; symbolic computation; system identification; time series prediction; unsupervised learning; vision;
Conference_Titel :
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Conference_Location :
Como, Italy
Print_ISBN :
0-7695-0619-4
DOI :
10.1109/IJCNN.2000.857804
